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HI, my name is

Dr. Caterina De Bacco

TU Delft, Netherlands

Associate Professor

mail

c.debacco@tudelft.nl

captive_portal

https://www.cdebacco.com/

Short Bio

Caterina De Bacco is an Associate Professor at TU Delft, Netherlands, since September 2024. Between July 2018 and August 2024 she was an Independent Research Group Leader at Cyber Valley, Max Planck Institute for Intelligent Systems in Tübingen, Germany. She obtained a degree in Physics at University of Padova and a PhD in Statistical Physics at Universitè Paris Sud 11 in 2015, advised by Silvio Franz and Satya Majumdar with a Marie Curie ITN fellowship. After that, she was a Program Postdoc at the Santa Fe Institute working with Cris Moore and then at the Columbia Data Science Institute working with David Blei.

My Research Groups

  • arrow_forward

    Physics for Inference and Optimization

My Research Fund Projects

  • arrow_forward

    Relaxing Restrictive Interdependence Assumptions in Networks

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    Anomaly Detection in Networks: Reciprocated and Dynamic Networks

Related news

  • 2018: Building a network of excellent scientists—interview with Caterina De Bacco
    March 12, 2026

    2018: Building a network of excellent scientists—interview with Caterina De Bacco

    Celebrating ten years of Cyber Valley in 2026

  • Cyber Valley Research Fund drives research excellence
    August 9, 2024

    Cyber Valley Research Fund drives research excellence

    Understanding the fundamental patterns in networks

  • Cyber Valley Research Fund Event
    November 28, 2023

    Cyber Valley Research Fund Event

    Bringing AI fundamental research to new heights

  • Cyber Valley research group leader wins prestigious award
    July 29, 2021

    Cyber Valley research group leader wins prestigious award

    Caterina De Bacco awarded early-career prize by the European Physical Society

  • Cyber Valley researchers enable better analyses of large networks
    November 3, 2020

    Cyber Valley researchers enable better analyses of large networks

    Using a recently developed algorithmic sampling method, Nicolò Ruggeri and Caterina de Bacco aim to help social scientists better understand the relationships between nodes in large networks, including social media channels such as Facebook or Twitter.

Related events

  • 15
    Oct

    Female Leadership in Cyber Valley – Frauenwirtschaftstage 2020

  • 06
    Nov

    AI Research in Cyber Valley: Talks on Science and Society

Related networks

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